Review of the Application of Deep Learning in Natural Language Processing
Keywords:
Deep Learning, Natural Language Processing, Machine Learning, Machine Translation, Sequence ModelAbstract
Natural language processing enables computers to understand and process natural language by designing algorithms, covering scenarios such as machine translation, word embedding, and text generation. By deeply integrating deep learning technologies, it has reconstructed the technical paradigm of semantic understanding and generation. With the development of computer technology and related sciences, the applications and demands of natural language processing have also increased day by day. This paper analyzes the development history of NLP, including early expert systems, the deep learning stage, and the Transformer architecture; key technologies represented by word embedding, text generation, and the Transformer architecture; application scenarios composed of machine translation, sentiment analysis, and text generation, and prospects the development of natural language processing.
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Copyright (c) 2026 Junyi Zhang, Xueqian Li
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